napari-vipp

VIPP: Visual Image Processing Platform: Visual image processing made approachable

A new way for AI to search for data
View on GitHub
6GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 70e6c7f130 (2026-10-20).

Selected work

Rensu Theart
@rensutheart

“Extract graph-only workflow recovery foundation and crash checks”. 6 files, 2,607 lines in src/napari_vipp, scripts.

Licence

The repository

BSD-3-Clause

Checked by a person at the pinned commit.

The XERJ corpus

BSD-3-Clause, with credit

The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

bioinformaticsbioinformatics-pipelineimage-analysisimage-manipulationimage-processingimage-segmentation

Example questions

The prompt

Paste it into your AI agent. It clones rensutheart/napari-vipp at the pinned commit and indexes it on your machine.

Search the GitHub repository rensutheart/napari-vipp with XERJ (https://hub.xerj.org/corpus/rensutheart--napari-vipp).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/rensutheart/napari-vipp napari-vipp && git -C napari-vipp checkout 70e6c7f1306297b9164b57b2dbe7fa8f72232301
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./napari-vipp --url http://127.0.0.1:9200 --prefix napari-vipp --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: BSD-3-Clause. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.